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Continuous market watch
Watch a curated universe across FX, metals, indices, energy and selected crypto context without manually scanning dozens of charts.
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A different kind of market workspace
Markets move fast.
Context should keep up.
FinNoesis is building an evidence-first market intelligence workspace that watches liquid markets continuously, remembers what changed, connects price with catalysts and cross-market context, and lets you inspect the reasoning instead of trusting a mysterious score.
Web workspaceDeveloper APIRealtime + webhooksAlerts to your channels
One market, many layers.Price, technical state, events, news, cross-market evidence and source quality stay connected.
Memory, not just snapshots.Revisit what the system knew then, what changed later, and what happened afterward.
Built for humans and software.Use the web UI — or take the same intelligence into your own systems through APIs and signed webhooks.
FNFinNoesis
Search EURUSD, gold, CPI, market themes…
LIVE PREVIEW
EURUSD
Euro / U.S. Dollar · multi-source view
1.16482+0.42% today
Why this market is on the screen
Cross-marketEUR breadth ↑
6 of 7 eligible crosses confirm the move.
UpcomingUS CPI · 47m
Event sensitivity elevated in the current regime.
Evidence3 supporting · 2 conflicting
Nothing is hidden behind a single score.
From data to decisions
Start with a question, not a wall of widgets.
FinNoesis is being designed around the questions traders and researchers actually ask. Pick one below to see how the workspace is intended to answer it.
What is coming
One workspace. Many ways to interrogate the market.
Not a pile of disconnected tools. The same market state, evidence, time semantics and provenance will power every surface — from the web workspace to your own backend.
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Evidence you can inspect
Supporting and conflicting evidence stay separate: technical state, macro events, news, cross-market relationships, strategies and data quality.
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Market memory
Go back to what was known at a historical moment, replay how a thesis evolved, and compare current conditions with prior states without hindsight leakage.
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Event-aware intelligence
Know when CPI, PPI, central-bank decisions and other catalysts approach — plus which markets look unusually vulnerable before the release.
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Explainable trade candidates
A deliberately small set of evidence-backed setups with entry context, invalidation, targets, conflicts and methodology — not “AI says buy.”
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Follow the scenario
Track what would have happened after following a published setup under explicit hypothetical rules, including entry activation, MFE, MAE and outcome.
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Alerts that understand context
Price moves, findings, catalysts, source quality, research changes and lifecycle events — delivered in-app, by email, browser, Slack or signed webhook.
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Your analytical lens
Tell FinNoesis which markets, horizons and types of evidence matter to you. Personalization changes ranking — not the underlying truth.
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Built for developers too
One API key, stable contracts, realtime streams, historical context and signed webhooks so your own systems can consume the same intelligence.
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Different users, same truth
Use it the way your brain works.
Some people want a ranked brief. Others want the chart, raw evidence, a historical reconstruction or a machine-readable feed. FinNoesis is being built to support all of them without duplicating analytical truth.
Developer platform
One key. The same intelligence. Your software.
The API is not planned as an afterthought or a view of internal tables. It is a first-class product contract designed for dashboards, agents, research tools, automations and commercial integrations.
One API key across REST, realtime and webhook subscriptionsStable resourcesMarkets, events, findings, relationships, history and more.
Realtime updatesCompact invalidation/update messages rather than polling everything.
Signed webhooksAt-least-once delivery with event IDs, signatures and retry semantics.
Point-in-time researchAsk what was known at a historical timestamp instead of leaking the future.
Be notified your way
Alerts should reduce attention, not create noise.
Choose what matters and where it should reach you. The system is being designed around explicit trigger semantics, cooldowns, grouping and auditability rather than sending the same condition every few seconds.
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In-appPersistent notification history with links back to evidence.@
EmailFor important events, digests and lifecycle changes.#
SlackBring market or operational intelligence into a team channel.↗
WebhookSigned machine-to-machine delivery into your own backend.Example: high-impact CPI approaching + EURUSD vulnerability elevated
Notify 60 minutes before release only if the market is on my watchlist and current data quality is healthy.
In-app
Trust through inspectability
The system should be able to explain what it knew and when.
Financial software becomes dangerous when confidence is easier to display than provenance. FinNoesis is being built around explicit source identity, quality, time and methodology from day one.
No mystery confidence.
A score can be useful for ranking, but it should not pretend to be a probability of profit. Every meaningful conclusion should remain connected to the evidence that produced it and the data quality that made it eligible.
Source provenanceKnow which broker, publisher or dataset contributed a fact.
Point-in-time truthHistorical views only use information the system actually knew at that time.
Conflicts stay visibleBullish and bearish evidence do not disappear into one opaque number.
Research remembers failuresBad hypotheses and invalidated ideas are part of the record, not deleted history.
Build status
The foundation is real. The product is next.
We would rather show an honest build sequence than publish a fake countdown. FinNoesis is being assembled in layers so the intelligence has something trustworthy to stand on.
01 · FoundationDurable data + monitoring
Time-series storage, message bus, cache, backup, monitoring, alerting and infrastructure recovery.
FOUNDATION ONLINE02 · Market dataReal broker observations
Source identity, MT5 ingestion, canonical bars, quality gates and cross-source comparison.
BUILDING NEXT03 · IntelligenceEvidence + market memory
Shared features, strategies, event context, explanations, historical reconstruction and continuous analysis.
04 · ProductWeb + API + integrations
The full workspace, user alerts, developer APIs, signed webhooks and team workflows.
Questions
What FinNoesis is — and what it is not.
A few useful distinctions before launch.
Charts are part of the workspace, but the product is being built around context: what changed, why it matters, what supports or conflicts with a view, what catalysts are approaching, and how similar situations behaved historically.
No. The planned product focuses on market intelligence, explainable setup tracking and hypothetical scenario analysis. It is not being positioned as an autonomous brokerage or order-execution engine.
Yes. The API is planned as a first-class product with stable resource contracts, realtime delivery, historical depth and signed webhooks — not a thin wrapper around the browser UI.
The initial focus is a curated set of liquid FX pairs, metals, major indices, energy markets and selected crypto context. Coverage will expand only after source quality and capacity are measured.
No. The core market state, scoring, lifecycle decisions and trade levels are intended to remain deterministic and versioned. Language models may help narrate already-structured evidence, but they are not the authority for market truth.
There is no public countdown yet. The infrastructure foundation is being completed first, followed by real market-data ingestion and measured vertical slices. Early access will open when the system has real evidence behind its claims.
Follow the build
Worth waiting for?
If the idea of a market workspace that remembers, explains and integrates sounds useful, request early access. Traders, developers and small analytical teams are all welcome.